Title:
METHODS AND APPARATUS FOR SELF-MAINTENANCE OF SATELLITE-INTEGRATED NETWORKS
Document Type and Number:
WIPO Patent Application WO/2023/097392
Kind Code:
A3
Abstract:
A computer-implemented method for communications network maintenance, the method comprising the steps of: acquiring raw data associated with the communications network a plurality of datasets; preprocessing the raw data by converting the raw data into a predefined data format to form a plurality of datasets and correcting any inconsistencies in the plurality of datasets; training a neural network with the plurality of datasets to detect at least one of an anomalous event and a network anomaly event, and localizing the communications network anomaly event to infer at least one root cause for the communications network anomaly event; and creating and executing a self-maintenance scheme to mitigate against effects of the at least one of the anomalous event and the communications network anomaly event.
Inventors:
HU PENG (CA)
Application Number:
PCT/CA2022/051737
Publication Date:
July 13, 2023
Filing Date:
November 28, 2022
Export Citation:
Assignee:
NAT RES COUNCIL CANADA (CA)
International Classes:
H04L41/16; H04B1/74; H04L41/0631; H04L41/0677
Domestic Patent References:
| WO2021087443A1 | 2021-05-06 |
Foreign References:
| US20170279698A1 | 2017-09-28 |
Other References:
HU PENG: "Closing the Management Gap for Satellite-Integrated Community Networks: A Hierarchical Approach to Self-Maintenance", IEEE COMMUNICATIONS MAGAZINE., IEEE SERVICE CENTER, PISCATAWAY., US, vol. 59, no. 12, 1 December 2021 (2021-12-01), US , pages 43 - 49, XP011897739, ISSN: 0163-6804, DOI: 10.1109/MCOM.001.2100479
LI ZHIDA; RIOS ANA LAURA GONZALEZ; XU GUANGYU; TRAJKOVIC LJILJANA: "Machine Learning Techniques for Classifying Network Anomalies and Intrusions", 2019 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS), IEEE, 26 May 2019 (2019-05-26), pages 1 - 5, XP033574292, ISSN: 2158-1525, ISBN: 978-1-7281-3320-1, DOI: 10.1109/ISCAS.2019.8702583
AL-MUSAWI BAHAA; BRANCH PHILIP; ARMITAGE GRENVILLE: "BGP Anomaly Detection Techniques: A Survey", IEEE COMMUNICATIONS SURVEYS & TUTORIALS, IEEE, USA, vol. 19, no. 1, 1 January 1900 (1900-01-01), USA , pages 377 - 396, XP011641677, DOI: 10.1109/COMST.2016.2622240
TURK, Y. ET AL.: "A Machine Leaming Based Management System for Network Services", 2019 INTERNATIONAL CONFERENCE ON WIRELESS AND MOBILE COMPUTING, NETWORKING AND COMMUNICATIONS (WIMOB, 2019, pages 1 - 8, XP033646749, DOI: 10.1109/WiMOB.2019.8923572
ARANI, A. H. ET AL.: "Fairness-Aware Link Optimization for Space-Terrestrial Integrated Networks: A Reinforcement Learning Framework", IEEE ACCESS, vol. 9, 27 May 2021 (2021-05-27), pages 77624 - 77636, XP011857519, DOI: 10.1109/ACCESS.2021.3082862
"Wireless and Satellite Systems", vol. 231, 1 January 2018, SPRINGER INTERNATIONAL PUBLISHING, Cham, ISBN: 978-3-319-76571-6, ISSN: 1867-8211, article ROUMELIOTIS ANARGYROS J., KOUROGIORGAS CHARILAOS I., KYRGIAZOS ARGYRIOS, PANAGOPOULOS ATHANASIOS D.: "Flexible Capacity Allocation in Smart Gateway Diversity Satellite Systems Using Matching Theory", pages: 195 - 204, XP093080251, DOI: 10.1007/978-3-319-76571-6_19
BENNACER LEILA; AMIRAT YACINE; CHIBANI ABDELGHANI; MELLOUK ABDELHAMID; CIAVAGLIA LAURENT: "Self-Diagnosis Technique for Virtual Private Networks Combining Bayesian Networks and Case-Based Reasoning", IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, IEEE SERVICE CENTER, NEW YORK, NY, US, vol. 12, no. 1, 1 January 2015 (2015-01-01), US , pages 354 - 366, XP011566873, ISSN: 1545-5955, DOI: 10.1109/TASE.2014.2321011
"Cyber Threat Intelligence", vol. 3, 31 December 2017, SPRINGER INTERNATIONAL PUBLISHING, Cham, ISBN: 978-3-319-73951-9, ISSN: 1568-2633, article DING QINGYE, LI ZHIDA, HAERI SOROUSH, TRAJKOVIĆ LJILJANA: "Application of Machine Learning Techniques to Detecting Anomalies in Communication Networks: Datasets and Feature Selection Algorithms", pages: 47 - 70, XP009547553, DOI: 10.1007/978-3-319-73951-9_3
LI ZHIDA; RIOS ANA LAURA GONZALEZ; XU GUANGYU; TRAJKOVIC LJILJANA: "Machine Learning Techniques for Classifying Network Anomalies and Intrusions", 2019 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS), IEEE, 26 May 2019 (2019-05-26), pages 1 - 5, XP033574292, ISSN: 2158-1525, ISBN: 978-1-7281-3320-1, DOI: 10.1109/ISCAS.2019.8702583
AL-MUSAWI BAHAA; BRANCH PHILIP; ARMITAGE GRENVILLE: "BGP Anomaly Detection Techniques: A Survey", IEEE COMMUNICATIONS SURVEYS & TUTORIALS, IEEE, USA, vol. 19, no. 1, 1 January 1900 (1900-01-01), USA , pages 377 - 396, XP011641677, DOI: 10.1109/COMST.2016.2622240
TURK, Y. ET AL.: "A Machine Leaming Based Management System for Network Services", 2019 INTERNATIONAL CONFERENCE ON WIRELESS AND MOBILE COMPUTING, NETWORKING AND COMMUNICATIONS (WIMOB, 2019, pages 1 - 8, XP033646749, DOI: 10.1109/WiMOB.2019.8923572
ARANI, A. H. ET AL.: "Fairness-Aware Link Optimization for Space-Terrestrial Integrated Networks: A Reinforcement Learning Framework", IEEE ACCESS, vol. 9, 27 May 2021 (2021-05-27), pages 77624 - 77636, XP011857519, DOI: 10.1109/ACCESS.2021.3082862
"Wireless and Satellite Systems", vol. 231, 1 January 2018, SPRINGER INTERNATIONAL PUBLISHING, Cham, ISBN: 978-3-319-76571-6, ISSN: 1867-8211, article ROUMELIOTIS ANARGYROS J., KOUROGIORGAS CHARILAOS I., KYRGIAZOS ARGYRIOS, PANAGOPOULOS ATHANASIOS D.: "Flexible Capacity Allocation in Smart Gateway Diversity Satellite Systems Using Matching Theory", pages: 195 - 204, XP093080251, DOI: 10.1007/978-3-319-76571-6_19
BENNACER LEILA; AMIRAT YACINE; CHIBANI ABDELGHANI; MELLOUK ABDELHAMID; CIAVAGLIA LAURENT: "Self-Diagnosis Technique for Virtual Private Networks Combining Bayesian Networks and Case-Based Reasoning", IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, IEEE SERVICE CENTER, NEW YORK, NY, US, vol. 12, no. 1, 1 January 2015 (2015-01-01), US , pages 354 - 366, XP011566873, ISSN: 1545-5955, DOI: 10.1109/TASE.2014.2321011
"Cyber Threat Intelligence", vol. 3, 31 December 2017, SPRINGER INTERNATIONAL PUBLISHING, Cham, ISBN: 978-3-319-73951-9, ISSN: 1568-2633, article DING QINGYE, LI ZHIDA, HAERI SOROUSH, TRAJKOVIĆ LJILJANA: "Application of Machine Learning Techniques to Detecting Anomalies in Communication Networks: Datasets and Feature Selection Algorithms", pages: 47 - 70, XP009547553, DOI: 10.1007/978-3-319-73951-9_3
Attorney, Agent or Firm:
SABETA, Anton C. et al. (CA)
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